Abstract
Avila, F. and Myers, D.E., 1991. Correspondence analysis applied to environmental data sets: a study of Chautauqua Lake sediments. Chemometrics and Intelligent Laboratory Systems, 11: 229–249. Correspondence analysis (CA) is a multivariate technique suitable for data matrices with nonnegative entries. We show its use on environmental data sets and compare our results with those found in previous studies of the same data sets. To perform CA we use an interactive PC program that uses several diagnostics to help find a solution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
